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Yotta Labs
5+ YOECandidates need a bachelor's degree or higher in a technical field, 3+ years in systems engineering or DevOps, and 5+ years in cloud-native or AI engineering. Hands-on Kubernetes multi-cluster experience, Docker, Prometheus and Grafana are required.
Kubernetes, Helm, kubectl, Docker, Prometheus, Grafana
Baseten
Candidates need a bachelor's, master's or PhD in a technical field, experience with Python or C++, and familiarity with LLM optimization and ML libraries such as PyTorch or TensorRT. They also need a deep understanding of GPU architecture and demonstrated interest in LLMs.
PyTorch, TensorRT, TensorRT-LLM, vLLM, SGLang, CUDA
Baseten
Candidates need a strong understanding of GPU architecture and memory hierarchy, proficiency in C++ and GPU profiling tools, and knowledge of the CUDA C++ API, numerical precision and modern GPU features. Experience with Transformer models, Flash Attention, Cutlass, Triton or GEMM tuning is a plus.
CUDA, PTX, Nsight Systems, Nsight Compute, Torch Profiler, Cutlass
HeyGen
Candidates need experience optimizing GPU-based AI or high-performance computing systems, strong Python and PyTorch skills, and knowledge of GPU hardware. Using profiling tools to validate improvements is required. CUDA, Triton and video or diffusion model experience are preferred.
PyTorch, NVIDIA Nsight Systems, NVIDIA Nsight Compute, PyTorch Profiler, CUDA, Triton
hireVouch: Company Marketing Strategy
5+ YOECandidates need 5+ years scaling IT operations or information security at growth-stage businesses, SOC 2 Type 2 or ISO 27001 experience, and cloud and device management skills. Strong English communication for non-technical audiences is required.
AWS, Azure, GCP, Jamf, Kandji, Vanta
Huawei Technologies Canada Co., Ltd.
Candidates need in-depth knowledge of emerging AI and GPU applications, AI-enhanced rendering, AI chip and computer architecture, and system architecture design. Proficiency in CUDA, OpenCL or Vulkan, GPU performance profiling and tuning, and strong teamwork and communication are required.
CUDA, OpenCL, Vulkan, Unity
Huawei Technologies Canada Co., Ltd.
Candidates need an MS or PhD in computer science or a related quantitative field, deep knowledge of reinforcement learning, and publications at top AI conferences. They also need strong Python and deep learning skills plus an understanding of hardware limits on edge devices.
PyTorch, JAX, TensorFlow, Python, C++, CUDA
Huawei Technologies Canada Co., Ltd.
Candidates need a Bachelor's, Master's or PhD in Computer Science or Computer Engineering. They need experience building large, high-performance distributed systems, plus skills in GPU, container and AI serving technologies and in one or more programming languages.
Kubernetes, TensorRT-LLM, NVIDIA TensorRT, NVIDIA Triton, PyTorch, CUDA
Huawei Technologies Canada Co., Ltd.
Candidates need deep knowledge of emerging AI and GPU applications, AI-enhanced rendering, and GPU architecture and programming. They also need proven system architecture design experience and strong teamwork and communication skills.
CUDA, OpenCL, Vulkan, UE, Unity
Huawei Technologies Canada Co., Ltd.
Candidates need a Master's (or PhD, an asset) in computer science, electrical engineering, mathematics or a related field, plus experience with two or more of: hybrid CPU/GPU or parallel computing, SIMT, AI compilers, and GPU programming (CUDA, HIP, OpenCL). Strong C/C++ and performance-focused coding are required.
CUDA, HIP, OpenCL, C, C++
Huawei Technologies Canada Co., Ltd.
Candidates need a strong understanding of modern AI architectures and AI accelerator hardware such as GPUs and TPUs. Hands-on kernel development experience with CUDA or Triton, plus LLM inference and profiling experience, is required; a PhD is an asset.
CUDA, Triton, TileLang, vLLM, SGLang, PyTorch
Huawei Technologies Canada Co., Ltd.
Candidates need a PhD in a computer-related field, ideally in AI/ML or computer architecture, plus industry experience. They should know AI frameworks such as PyTorch, TensorFlow or JAX, be proficient in C/C++, and have hands-on experience with a GPU ecosystem such as CUDA, Vulkan, OpenGL, OpenCL or WebGPU.
PyTorch, TensorFlow, JAX, CUDA, Vulkan, OpenGL
DataVisor
1+ YOECandidates need 1 to 5 years of software development experience in Java, Shell and Python. Experience with big data, streaming and SQL technologies is an asset.
Spark, Hadoop, HBase, Cassandra, Kafka, Flink
Bombardier: Headquartered in Greater Montréal, Québec, Bombardier operates aerostructure, assembly and completion facilities in Canada, the United States and…
Candidates need a PhD in aerospace, mechanical engineering, applied mathematics, computer science or a related field, plus CFD and scientific programming experience in C++ and Python. Fluency in English and French and eligibility to work with controlled aerospace data are also required.
C++, Python, Linux, Git, MPI, OpenMP
Bombardier: Headquartered in Greater Montréal, Québec, Bombardier operates aerostructure, assembly and completion facilities in Canada, the United States and…
Doctorat en génie aérospatial, génie mécanique, mathématiques appliquées ou informatique; Solides connaissances en CFD, aérodynamique compressible et modélisation de la turbulence; Expérience en développement scientifiqu
Git, Linux, MPI, OpenMP, CI/CD pipelines
16 companies